Package index • markovchain

All functions
`ExpectedTime()`	Returns expected hitting time from state i to state j
`HigherOrderMarkovChain-class`	Higher order Markov Chains class
`absorptionProbabilities()`	Absorption probabilities
`blanden`	Mobility between income quartiles
`committorAB()`	Calculates committor of a markovchain object with respect to set A, B
`conditionalDistribution()`	`conditionalDistribution` of a Markov Chain
`craigsendi`	CD4 cells counts on HIV Infects between zero and six month
`ctmc-class` `dim,ctmc-method` `initialize,ctmc_method` `states,ctmc-method` `steadyStates,ctmc-method` `plot,ctmc,missing-method`	Continuous time Markov Chains class
`ctmcFit()`	Function to fit a CTMC
`expectedRewards()`	Expected Rewards for a markovchain
`expectedRewardsBeforeHittingA()`	Expected first passage Rewards for a set of states in a markovchain
`firstPassage()`	First passage across states
`firstPassageMultiple()`	function to calculate first passage probabilities
`fitHighOrderMultivarMC()`	Function to fit Higher Order Multivariate Markov chain
`fitHigherOrder()` `seq2freqProb()` `seq2matHigh()`	Functions to fit a higher order Markov chain
`freq2Generator()`	Returns a generator matrix corresponding to frequency matrix
`generatorToTransitionMatrix()`	Function to obtain the transition matrix from the generator
`name()`	Method to retrieve name of markovchain object
`hittingProbabilities()`	Hitting probabilities for markovchain
`holson`	Holson data set
`hommc-class` `hommc`	An S4 class for representing High Order Multivariate Markovchain (HOMMC)
`show(<hommc>)`	Function to display the details of hommc object
`ictmc-class` `ictmc`	An S4 class for representing Imprecise Continuous Time Markovchains
`impreciseProbabilityatT()`	Calculating full conditional probability using lower rate transition matrix
`inferHyperparam()`	Function to infer the hyperparameters for Bayesian inference from an a priori matrix or a data set
`is.CTMCirreducible()`	Check if CTMC is irreducible
`is.TimeReversible()`	checks if ctmc object is time reversible
`is.accessible()`	Verify if a state j is reachable from state i.
`is.irreducible()`	Function to check if a Markov chain is irreducible (i.e. ergodic)
`is.regular()`	Check if a DTMC is regular
`kullback`	Example from Kullback and Kupperman Tests for Contingency Tables
`markovchain-class` `,markovchain,markovchain-method` `,markovchain,matrix-method` `,markovchain,numeric-method` `,matrix,markovchain-method` `*,numeric,markovchain-method` `==,markovchain,markovchain-method` `!=,markovchain,markovchain-method` `absorbingStates,markovchain-method` `transientStates,markovchain-method` `recurrentStates,markovchain-method` `transientClasses,markovchain-method` `recurrentClasses,markovchain-method` `communicatingClasses,markovchain-method` `steadyStates,markovchain-method` `meanNumVisits,markovchain-method` `is.regular,markovchain-method` `is.irreducible,markovchain-method` `is.accessible,markovchain,character,character-method` `is.accessible,markovchain,missing,missing-method` `absorptionProbabilities,markovchain-method` `meanFirstPassageTime,markovchain,character-method` `meanFirstPassageTime,markovchain,missing-method` `meanAbsorptionTime,markovchain-method` `meanRecurrenceTime,markovchain-method` `conditionalDistribution,markovchain-method` `hittingProbabilities,markovchain-method` `canonicForm,markovchain-method` `coerce,data.frame,markovchain-method` `coerce,markovchain,data.frame-method` `coerce,table,markovchain-method` `coerce,markovchain,igraph-method` `coerce,markovchain,matrix-method` `coerce,markovchain,sparseMatrix-method` `coerce,sparseMatrix,markovchain-method` `coerce,matrix,markovchain-method` `coerce,Matrix,markovchain-method` `coerce,msm,markovchain-method` `coerce,msm.est,markovchain-method` `coerce,etm,markovchain-method` `dim,markovchain-method` `initialize,markovchain-method` `names` `plot,markovchain,missing-method` `predict,markovchain-method` `print,markovchain-method` `show,markovchain-method` `summary,markovchain-method` `sort,markovchain-method` `t,markovchain-method` `[,markovchain,ANY,ANY,ANY-method` `^,markovchain,numeric-method`	Markov Chain class
`markovchain` `markovchain-package`	Easy Handling Discrete Time Markov Chains
`createSequenceMatrix()` `markovchainFit()`	Function to fit a discrete Markov chain
`markovchainList-class` `[[,markovchainList-method` `dim,markovchainList-method` `predict,markovchainList-method` `print,markovchainList-method` `show,markovchainList-method`	Non homogeneus discrete time Markov Chains class
`markovchainListFit()`	markovchainListFit
`markovchainSequence()`	Function to generate a sequence of states from homogeneous Markov chains.
`meanAbsorptionTime()`	Mean absorption time
`meanFirstPassageTime()`	Mean First Passage Time for irreducible Markov chains
`meanNumVisits()`	Mean num of visits for markovchain, starting at each state
`meanRecurrenceTime()`	Mean recurrence time
`multinomialConfidenceIntervals()`	A function to compute multinomial confidence intervals of DTMC
`names(<markovchain>)`	Returns the states for a Markov chain object
`noofVisitsDist()`	return a joint pdf of the number of visits to the various states of the DTMC
`ones()`	Returns an Identity matrix
`predictHommc()`	Simulate a higher order multivariate markovchain
`predictiveDistribution()`	predictiveDistribution
`preproglucacon`	Preprogluccacon DNA protein bases sequences
`priorDistribution()`	priorDistribution
`probabilityatT()`	Calculating probability from a ctmc object
`rain`	Alofi island daily rainfall
`rctmc()`	rctmc
`rmarkovchain()`	Function to generate a sequence of states from homogeneous or non-homogeneous Markov chains.
`sales`	Sales Demand Sequences
`name<-`()	Method to set name of markovchain object
`states()`	Defined states of a transition matrix
`verifyMarkovProperty()` `assessOrder()` `assessStationarity()` `verifyEmpiricalToTheoretical()` `verifyHomogeneity()`	Various functions to perform statistical inference of DTMC
`steadyStates()`	Stationary states of a `markovchain` object
`period()` `communicatingClasses()` `recurrentClasses()` `transientClasses()` `transientStates()` `recurrentStates()` `absorbingStates()` `canonicForm()`	Various function to perform structural analysis of DTMC
`tm_abs`	Single Year Corporate Credit Rating Transititions
`transition2Generator()`	Return the generator matrix for a corresponding transition matrix
`transitionProbability()`	Function to get the transition probabilities from initial to subsequent states.
`zeros()`	Matrix to create zeros

Reference

All functions